Neural Network-Based Transceiver Design for VLC System over ISI Channel
In this letter, we construct the neural network (NN)-based transceiver to compensate for the varying inter-symbol-interference (ISI) effect in visible light communication (VLC) systems. For processing variable-length sequences, the convolution neural network (CNN) is utilized, and then the residual...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/9/3/190 |
| _version_ | 1797443529555836928 |
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| author | Lin Li Zhaorui Zhu Jian Zhang |
| author_facet | Lin Li Zhaorui Zhu Jian Zhang |
| author_sort | Lin Li |
| collection | DOAJ |
| description | In this letter, we construct the neural network (NN)-based transceiver to compensate for the varying inter-symbol-interference (ISI) effect in visible light communication (VLC) systems. For processing variable-length sequences, the convolution neural network (CNN) is utilized, and then the residual network structure is further leveraged at the receiver part to enhance the performance. To cope with varying ISI, the pilot sequence, instead of channel side information (CSI) obtained by an additional module, is integrated into the framework to recover the data sequence directly. Simulation results show that the symbol error rate (SER) performance of the proposed NN-based transceiver can outperform separately designed transceiver schemes and approach the ideal perfect CSI (PCSI) case with a few pilot symbols or even no pilot. |
| first_indexed | 2024-03-09T12:57:23Z |
| format | Article |
| id | doaj.art-ef23fb6b130c447a893c907b952834dd |
| institution | Directory Open Access Journal |
| issn | 2304-6732 |
| language | English |
| last_indexed | 2024-03-09T12:57:23Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj.art-ef23fb6b130c447a893c907b952834dd2023-11-30T21:59:27ZengMDPI AGPhotonics2304-67322022-03-019319010.3390/photonics9030190Neural Network-Based Transceiver Design for VLC System over ISI ChannelLin Li0Zhaorui Zhu1Jian Zhang2National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, ChinaIn this letter, we construct the neural network (NN)-based transceiver to compensate for the varying inter-symbol-interference (ISI) effect in visible light communication (VLC) systems. For processing variable-length sequences, the convolution neural network (CNN) is utilized, and then the residual network structure is further leveraged at the receiver part to enhance the performance. To cope with varying ISI, the pilot sequence, instead of channel side information (CSI) obtained by an additional module, is integrated into the framework to recover the data sequence directly. Simulation results show that the symbol error rate (SER) performance of the proposed NN-based transceiver can outperform separately designed transceiver schemes and approach the ideal perfect CSI (PCSI) case with a few pilot symbols or even no pilot.https://www.mdpi.com/2304-6732/9/3/190visible light communication (VLC)neural network (NN)deep learningautoencoder (AE)transceiver design |
| spellingShingle | Lin Li Zhaorui Zhu Jian Zhang Neural Network-Based Transceiver Design for VLC System over ISI Channel Photonics visible light communication (VLC) neural network (NN) deep learning autoencoder (AE) transceiver design |
| title | Neural Network-Based Transceiver Design for VLC System over ISI Channel |
| title_full | Neural Network-Based Transceiver Design for VLC System over ISI Channel |
| title_fullStr | Neural Network-Based Transceiver Design for VLC System over ISI Channel |
| title_full_unstemmed | Neural Network-Based Transceiver Design for VLC System over ISI Channel |
| title_short | Neural Network-Based Transceiver Design for VLC System over ISI Channel |
| title_sort | neural network based transceiver design for vlc system over isi channel |
| topic | visible light communication (VLC) neural network (NN) deep learning autoencoder (AE) transceiver design |
| url | https://www.mdpi.com/2304-6732/9/3/190 |
| work_keys_str_mv | AT linli neuralnetworkbasedtransceiverdesignforvlcsystemoverisichannel AT zhaoruizhu neuralnetworkbasedtransceiverdesignforvlcsystemoverisichannel AT jianzhang neuralnetworkbasedtransceiverdesignforvlcsystemoverisichannel |